Self-Paced Learning: an Implicit Regularization Perspective

Self-Paced Learning: an Implicit Regularization Perspective

1 June 2016

Jian Liang

Papers citing "Self-Paced Learning: an Implicit Regularization Perspective"

9 / 9 papers shown

Title
Adaptively Point-weighting Curriculum Learning Wensheng Li Hao Wang Ruifeng Zhou Hanting Guan Chao Zhang Dacheng Tao ODL 53 0 0 03 May 2025
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks Atefe Hassani I. Rekik FedML 48 0 0 29 Jul 2024
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation Skyler Seto B. Theobald Federico Danieli Navdeep Jaitly Dan Busbridge TTA OOD 58 6 0 07 Sep 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 37 6 0 15 Jun 2023
Unsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection Meiling Fang Fadi Boutros Naser Damer CVBM 37 13 0 11 Aug 2022
Which Samples Should be Learned First: Easy or Hard? Xiaoling Zhou Ou Wu 32 17 0 11 Oct 2021
A Survey on Curriculum Learning Xin Eric Wang Yudong Chen Wenwu Zhu SyDa 37 22 0 25 Oct 2020
Understanding Self-Paced Learning under Concave Conjugacy Theory Shiqi Liu Zilu Ma Deyu Meng 26 9 0 21 May 2018
Learning with Average Top-k Loss Yanbo Fan Siwei Lyu Yiming Ying Bao-Gang Hu DML 35 103 0 24 May 2017